Abstract
Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation.In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.
Original language | English |
---|---|
Pages (from-to) | 476-479 |
Number of pages | 4 |
Journal | Data in Brief |
Volume | 7 |
Early online date | 2 Mar 2016 |
DOIs | |
Publication status | Published - Jun 2016 |
Bibliographical note
© 2016 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)Keywords
- species distribution models
- virtual species
- habitat suitability